Sabine Wölk (Austria): Quantum enhanced reinforcement learning

Montag, 18. September 2017, 15:00

Ort: Ernst-Mach-Lecture-Hall, Boltzmanngasse 5, 2nd floor

The past decade has seen the parallel advance of two research areas—quantum computation and artificial intelligence — from abstract theory to practical applications and commercial use. Despite this seemingly simultaneous emergence and promise to shape future technological developments, the overlap between these areas still offers a number of unexplored problems. It is hence of fundamental and practical interest to determine how quantum information processing and autonomously learning machines can mutually benefit from each other.In this talk, I will give an introduction to learning agent based on projective simulation and how we can enhance the performance of such a learning agent with the help of quantum information. I will also discuss possible experimental realizations.[1] V. Dunjko, N. Friis and H. J. Briegel, Quantum-enhanced deliberation of learning agents using trapped ions, New J. Phys. 17, 023006 (2015)[2] V. Dunjko, J. M. Taylor and H.J. Briegel, Quantum-enhanced machine learning, Phys. Rev. Lett. 117, 130501 (2016)